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Luping Wang; Yun Hao; Shanshan Wang – Discover Education, 2025
In the traditional teaching mode, it is difficult for teachers to have a comprehensive understanding of each student's study, and it is also hard for them to provide targeted guidance and assistance. With the development of data collection and analysis technology, schools and educational institutions can make better use of big data technology to…
Descriptors: College Students, Predictor Variables, Scores, Academic Achievement
John Pace; John Hansen; John Stewart – Physical Review Physics Education Research, 2024
Machine learning models were constructed to predict student performance in an introductory mechanics class at a large land-grant university in the United States using data from 2061 students. Students were classified as either being at risk of failing the course (earning a D or F) or not at risk (earning an A, B, or C). The models focused on…
Descriptors: Artificial Intelligence, Identification, At Risk Students, Physics
Brevik, Eric C. – Natural Sciences Education, 2020
Online homework (OLH) assignments were added to the Introduction to Physical Geology class at Dickinson State University in the fall semester of 2014. Anticipated advantages included timely feedback and opportunities for students to correct mistakes made during homework completion. The same instructor taught all lecture and laboratory sections…
Descriptors: Homework, Small Classes, Introductory Courses, Electronic Learning
Bassett, Kaleb; Olbricht, Gayla R.; Shannon, Katie B. – CBE - Life Sciences Education, 2020
The flipped classroom has the potential to improve student performance. Because flipping involves both preclass preparation and problem solving in the classroom, the means by which increased learning occurs and whether the method of delivering content matters is of interest. In a partially flipped cell biology course, students were assigned online…
Descriptors: Blended Learning, Homework, Video Technology, Reading Assignments
Aydogdu, Seyhmus – Education and Information Technologies, 2020
Prediction of student performance is one of the most important subjects of educational data mining. Artificial neural networks are seen to be an effective tool in predicting student performance in e-learning environments. In the studies carried out with artificial neural networks, performance predictions based on student scores are generally made,…
Descriptors: Prediction, Academic Achievement, Electronic Learning, Artificial Intelligence
Akbiyik, Melike; Senturk, Murat – Eurasian Journal of Educational Research, 2019
Purpose: This study aims to determine how university students evaluate the academic enablers they have acquired. To this end, the Assessment Scale of the Academic Enablers (ASAE) was developed and applied to 5,208 university students to test its validity and reliability. Research Methods: The study employed a quantitative research design during…
Descriptors: Foreign Countries, College Students, Measures (Individuals), Test Validity
Vargas, David L.; Bridgeman, Ariel M.; Schmidt, David R.; Kohl, Patrick B.; Wilcox, Bethany R.; Carr, Lincoln D. – Physical Review Physics Education Research, 2018
We compute nodal centrality measures on the collaboration networks of students enrolled in three upper-division physics courses, usually taken sequentially, at the Colorado School of Mines. These are complex networks in which links between students indicate assistance with homework. The courses included in the study are intermediate classical…
Descriptors: Correlation, College Students, Academic Achievement, Social Networks
Schmitz, Kurt – International Journal for the Scholarship of Teaching and Learning, 2019
Flipped instruction shifts the burden for engaging course content to the students. Moving these activities outside the classroom creates motivational challenges. This study investigates the role of formative assessments and completion rewards. Definitions are provided for flipped instruction and formative assessments. A classification of reward…
Descriptors: Educational Technology, Technology Uses in Education, Formative Evaluation, Rewards
Bailey, E. G.; Baek, D.; Meiling, J.; Morris, C.; Nelson, N.; Rice, N. S.; Rose, S.; Stockdale, P. – CBE - Life Sciences Education, 2018
Providing students with one-on-one interaction with instructors is a big challenge in large courses. One solution is to have students interact with their peers during class. Reciprocal peer tutoring (RPT) is a more involved interaction that requires peers to alternate the roles of "teacher" and "student." Theoretically,…
Descriptors: Biology, Homework, Peer Teaching, Tutoring
Ingalls, Victoria – REDIMAT - Journal of Research in Mathematics Education, 2018
Many studies have argued the negative effects of external rewards on internal motivation while others assert that external motivation does not necessarily undermine intrinsic motivation. At a private university, students were given the option to earn bonus points for achieving mastery in the online homework systems associated with Statistics and…
Descriptors: Mathematics Instruction, College Mathematics, Statistics, Incentives
He, Wenliang; Holton, Amanda; Gu, Hengrui; Warschauer, Mark; Farkas, George – International Journal of Teaching and Learning in Higher Education, 2019
This study assessed the impact of flipped instruction on study effort, exam performance, motivation, and perceived class quality in two sections of an introductory chemistry course. Giving frequent assignments and quizzes provided enough incentive to ensure pre-class study compliance, and flipped instruction did not appreciably increase overall…
Descriptors: Homework, Video Technology, Technology Uses in Education, Educational Technology
VerBruggen, Robert – Manhattan Institute for Policy Research, 2022
The Supreme Court has agreed to weigh in on the legality of racial preferences, in part thanks to a lawsuit against Harvard College alleging that the school discriminates against Asian-Americans. Proving discrimination at a specific school is an arduous task, requiring access to private, detailed admissions records--as the legal documents in that…
Descriptors: Asian American Students, Court Litigation, Racial Discrimination, Enrollment Trends
Rieger, G. W.; Reinsberg, S. A.; Wieman, C. E. – Physical Review Physics Education Research, 2016
We present a comment on "Benefits of completing homework for students with different aptitudes in an introductory electricity and magnetism course", by F. J. Kontur, K. de La Harpe, and N. B. Terry PRST-PER 11, 010105 (2015). Our data show that the conclusions Kontur and coworkers draw from their data may not be generally applicable.
Descriptors: Homework, Energy, Magnets, Science Instruction
Pearson, 2018
Pearson sought to explore whether the use of Mastering Physics, an online tutorial system used in higher education introductory physics courses, is related to students' results in exams and external standardized tests. This Research Report presents findings from two research studies we conducted with Penn State University, a school known for…
Descriptors: Physics, Science Instruction, Introductory Courses, Science Tests
Joyce, Paul – PASAA: Journal of Language Teaching and Learning in Thailand, 2018
This article investigates the relative effectiveness of online and paper-based formative assessment in the learning of English as a second language. For this study, 74 Japanese university second language (L2) students took online quizzes, while 71 were given paper-based quizzes to complete. The quiz content was drawn from learning material found…
Descriptors: Second Language Learning, Second Language Instruction, Homework, Language Proficiency